Security Metrics and Authentication-based RouTing (SMART) Protocol for Vehicular IoT Networks

Kumar, Rakesh; Singh, Sunil K.; Lobiyal, D. K.; Kumar, Sudhakar; Jawla, Shashi

doi:10.1007/s42979-023-02566-7

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Cited by 9 publications

References 35 publications

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Synergistic application of neuro-fuzzy mechanisms in advanced neural networks for real-time stream data flux mitigation

Goyal,

Kumar,

Singh

et al. 2024

Soft Comput

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Synergistic application of neuro-fuzzy mechanisms in advanced neural networks for real-time stream data flux mitigation

Goyal,

Kumar,

Singh

et al. 2024

Soft Comput

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Intelligent Task Offloading in IoT-Driven Digital Twin Systems via Hybrid Federated and Reinforcement Learning

Goyal,

Kumar,

Singh

et al. 2024

2024 IEEE Cyber Science and Technology Congress (CyberSciTech)

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Communication Systems for Drone Swarms and Remote Operations

Katna,

Singh,

Kumar

et al. 2025

Advances in Computational Intelligence and Robotics

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The world is progressively moving towards the smart city concept. Drones are central to this movement. Hence, this research on communication systems for drone swarms is imperative to enhance the operational efficiency and autonomy of unmanned aerial vehicles (UAVs). Alongside, it addresses the unique challenges posed by dynamic network topologies, limited bandwidth, and ensuring seamless collaboration in diverse applications. This study examines the complex domain of communication systems for drone swarms and remote operations. Issues such as bandwidth constraints and changing network configurations are assessed with a focus on innovative technologies like AI-powered decision-making, blockchain security, and edge computing. The assessment looks at the effects of specialized signal processing methods on swarm performance. Case studies authenticate these strategies' efficacy while offering vital real-world insights. Further, this study assists those in the field by guiding them through the challenges associated with drone swarm technology.

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Security Metrics and Authentication-based RouTing (SMART) Protocol for Vehicular IoT Networks

Cited by 9 publications

References 35 publications

Synergistic application of neuro-fuzzy mechanisms in advanced neural networks for real-time stream data flux mitigation

Synergistic application of neuro-fuzzy mechanisms in advanced neural networks for real-time stream data flux mitigation

Intelligent Task Offloading in IoT-Driven Digital Twin Systems via Hybrid Federated and Reinforcement Learning

Communication Systems for Drone Swarms and Remote Operations

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